{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T06:54:58Z","timestamp":1780988098278,"version":"3.54.1"},"reference-count":77,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41890805"],"award-info":[{"award-number":["41890805"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41730536"],"award-info":[{"award-number":["41730536"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","award":["GML2019ZD0305"],"award-info":[{"award-number":["GML2019ZD0305"]}]},{"name":"European Space Agency (ESA) project","award":["\u201cBiological Pump and Carbon Exchange Processes (BICEP)\u201d"],"award-info":[{"award-number":["\u201cBiological Pump and Carbon Exchange Processes (BICEP)\u201d"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Marine biogeochemical models have been widely used to understand ecosystem dynamics and biogeochemical cycles. To resolve more processes, models typically increase in complexity, and require optimization of more parameters. Data assimilation is an essential tool for parameter optimization, which can reduce model uncertainty and improve model predictability. At present, model parameters are often adjusted using sporadic in-situ measurements or satellite-derived total chlorophyll-a concentration at sea surface. However, new ocean datasets and satellite products have become available, providing a unique opportunity to further constrain ecosystem models. Biogeochemical-Argo (BGC-Argo) floats are able to observe the ocean interior continuously and satellite phytoplankton functional type (PFT) data has the potential to optimize biogeochemical models with multiple phytoplankton species. In this study, we assess the value of assimilating BGC-Argo measurements and satellite-derived PFT data in a biogeochemical model in the northern South China Sea (SCS) by using a genetic algorithm. The assimilation of the satellite-derived PFT data was found to improve not only the modeled total chlorophyll-a concentration, but also the individual phytoplankton groups at surface. The improvement of simulated surface diatom provided a better representation of subsurface particulate organic carbon (POC). However, using satellite data alone did not improve vertical distributions of chlorophyll-a and POC. Instead, these distributions were improved by combining the satellite data with BGC-Argo data. As the dominant variability of phytoplankton in the northern SCS is at the seasonal timescale, we find that utilizing monthly-averaged BGC-Argo profiles provides an optimal fit between model outputs and measurements in the region, better than using high-frequency measurements.<\/jats:p>","DOI":"10.3390\/rs14051297","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T01:50:53Z","timestamp":1646790653000},"page":"1297","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea"],"prefix":"10.3390","volume":"14","author":[{"given":"Chan","family":"Shu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"},{"name":"College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5328-8405","authenticated-orcid":false,"given":"Peng","family":"Xiu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China"},{"name":"Guangdong Key Laboratory of Ocean Remote Sensing, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 511458, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9940-1204","authenticated-orcid":false,"given":"Xiaogang","family":"Xing","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoqiang","family":"Qiu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7816-5150","authenticated-orcid":false,"given":"Wentao","family":"Ma","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5134-8291","authenticated-orcid":false,"given":"Robert J. W.","family":"Brewin","sequence":"additional","affiliation":[{"name":"Centre for Geography and Environmental Science, College of Life and Environmental Sciences, Penryn Campus, University of Exeter, Penryn TR10 9EZ, UK"},{"name":"Plymouth Marine Laboratory, Plymouth PL1 3DH, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Ciavatta","sequence":"additional","affiliation":[{"name":"Plymouth Marine Laboratory, Plymouth PL1 3DH, UK"},{"name":"National Centre of Earth Observation, Plymouth Marine Laboratory, Plymouth PL1 3DH, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.dsr2.2006.01.026","article-title":"Ecosystem model complexity versus physical forcing: Quantification of their relative impact with assimilated Arabian Sea data","volume":"53","author":"Friedrichs","year":"2006","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1029\/2018GB005934","article-title":"How Data Set Characteristics Influence Ocean Carbon Export Models","volume":"32","author":"Bisson","year":"2018","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/S0924-7963(00)00083-X","article-title":"Testing a marine ecosystem model: Sensitivity analysis and parameter optimization","volume":"28","author":"Fennel","year":"2001","journal-title":"J. Mar. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.ecolmodel.2003.08.015","article-title":"A data assimilation technique applied to estimate parameters for the NEMURO marine ecosystem model","volume":"172","author":"Kuroda","year":"2004","journal-title":"Ecol. Model."},{"key":"ref_5","first-page":"501","article-title":"Estimating parameters for a stochastic dynamic marine ecological system","volume":"22","author":"Dowd","year":"2011","journal-title":"Environmetrics"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2746","DOI":"10.1002\/jgrc.20213","article-title":"Particle filter-based data assimilation for a three-dimensional biological ocean model and satellite observations","volume":"118","author":"Mattern","year":"2013","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2691","DOI":"10.1002\/2013JC009433","article-title":"The assimilation of satellite-derived data into a one-dimensional lower trophic level marine ecosystem model","volume":"119","author":"Xiao","year":"2014","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jmarsys.2016.12.003","article-title":"Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic","volume":"168","author":"Gharamti","year":"2017","journal-title":"J. Mar. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4059","DOI":"10.5194\/bg-17-4059-2020","article-title":"Assessing the value of biogeochemical argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico","volume":"17","author":"Wang","year":"2020","journal-title":"Biogeosciences"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"C02017","DOI":"10.1029\/2002JC001724","article-title":"Kuroshio intrusion and the circulation in the South China Sea","volume":"109","author":"Xue","year":"2004","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1016\/j.csr.2004.06.005","article-title":"Overview of the South China Sea circulation and its influence on the coastal physical oceanography outside the Pearl River Estuary","volume":"24","author":"Su","year":"2004","journal-title":"Cont. Shelf Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1016\/S0967-0637(02)00035-3","article-title":"Monsoon-forced chlorophyll distribution and primary production in the South China Sea: Observations and a numerical study","volume":"49","author":"Liu","year":"2002","journal-title":"Deep Sea Res. Part I Oceanogr. Res. Pap."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"C10005","DOI":"10.1029\/2004JC002365","article-title":"Physical-biological oceanographic coupling influencing phytoplankton and primary production in the South China Sea","volume":"109","author":"Ning","year":"2004","journal-title":"J. Geophys. Res. Ocean"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1109\/LGRS.2008.915932","article-title":"Seasonal Variations of Chlorophyll a Concentration in the Northern South China Sea","volume":"5","author":"Shen","year":"2008","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1080\/14634988.2014.942590","article-title":"Seasonal and intraseasonal variability of surface chlorophyll a concentration in the South China Sea","volume":"17","author":"Tang","year":"2014","journal-title":"Aquat. Ecosyst. Health Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1029\/2018JC014170","article-title":"Evaluating the roles of wind- and buoyancy flux-induced mixing on phytoplankton dynamics in the northern and central South China Sea","volume":"124","author":"Geng","year":"2019","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1007\/s11802-014-2060-4","article-title":"Modeling seasonal variations of subsurface chlorophyll maximum in South China Sea","volume":"13","author":"Gong","year":"2014","journal-title":"J. Ocean. Univ. China"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jmarsys.2015.11.003","article-title":"Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea","volume":"156","author":"Wang","year":"2016","journal-title":"J. Mar. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.5194\/bg-14-2371-2017","article-title":"Analytical solution of the nitracline with the evolution of subsurface chlorophyll maximum in stratified water columns","volume":"14","author":"Gong","year":"2017","journal-title":"Biogeosciences"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"311","DOI":"10.5194\/bg-8-311-2011","article-title":"Synoptic relationships between surface Chlorophyll-a and diagnostic pigments specific to phytoplankton functional types","volume":"8","author":"Hirata","year":"2011","journal-title":"Biogeosciences"},{"key":"ref_21","unstructured":"Sathyendranath, S., Aiken, J., and Alvain, S. (2014). Phytoplankton Functional Types from Space, International Ocean-Colour Coordinating Group (IOCCG)."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.rse.2018.08.010","article-title":"Bio-optical discrimination of diatoms from other phytoplankton in the surface ocean: Evaluation and refinement of a model for the Northwest Atlantic","volume":"217","author":"Kramer","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7557","DOI":"10.1029\/2019JC015604","article-title":"How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms?","volume":"124","author":"Kramer","year":"2019","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.marpolbul.2014.03.052","article-title":"Satellite-observed variability of phytoplankton size classes associated with a cold eddy in the South China Sea","volume":"83","author":"Lin","year":"2014","journal-title":"Mar. Pollut. Bull."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"104","DOI":"10.3389\/fmars.2017.00104","article-title":"Uncertainty in ocean-Color estimates of chlorophyll for phytoplankton groups","volume":"4","author":"Brewin","year":"2017","journal-title":"Front. Mar. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1002\/2017JC013490","article-title":"Assimilation of ocean-color plankton functional types to improve marine ecosystem simulations","volume":"123","author":"Ciavatta","year":"2018","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5230","DOI":"10.1029\/2018JC014153","article-title":"The assimilation of phytoplankton functional types for operational forecasting in the northwest European shelf","volume":"123","author":"Ford","year":"2018","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"6737","DOI":"10.1029\/2019JC015128","article-title":"Ecoregions in the Mediterranean Sea through the reanalysis of phytoplankton functional types and carbon fluxes","volume":"124","author":"Ciavatta","year":"2019","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"e2019JC015586","DOI":"10.1029\/2019JC015586","article-title":"Global assimilation of ocean-color data of phytoplankton functional types: Impact of different data sets","volume":"125","author":"Pradhan","year":"2020","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"371","DOI":"10.5194\/os-14-371-2018","article-title":"Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific","volume":"14","author":"Hoshiba","year":"2018","journal-title":"Ocean. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"73","DOI":"10.5194\/bg-15-73-2018","article-title":"Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea","volume":"15","author":"Kaufman","year":"2018","journal-title":"Biogeosciences"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.ocemod.2004.08.002","article-title":"The regional oceanic modeling system (roms): A split-explicit, free-surface, topography-following-coordinate oceanic model","volume":"9","author":"Shchepetkin","year":"2005","journal-title":"Ocean. Model."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2713","DOI":"10.1016\/S0967-0645(02)00055-3","article-title":"One-dimensional ecosystem model of the equatorial Pacific upwelling system. Part I: Model development and silicon and nitrogen cycle","volume":"49","author":"Chai","year":"2002","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1007\/s10236-019-01286-y","article-title":"Seasonal variability of the carbon export in the central South China Sea","volume":"69","author":"Ma","year":"2019","journal-title":"Ocean. Dyn."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3354\/meps148187","article-title":"Dynamic model of phytoplankton growth and acclimation: Responses of the balanced growth rate and the chlorophyll a:carbon ratio to light, nutrient-limitation and temperature","volume":"148","author":"Geider","year":"1997","journal-title":"Mar. Ecol. Prog. Ser."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"C10006","DOI":"10.1029\/2010JC006800","article-title":"Modeled biogeochemical responses to mesoscale eddies in the South China Sea","volume":"116","author":"Xiu","year":"2011","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"11565","DOI":"10.1002\/2017GL075336","article-title":"Enhanced chlorophyll concentrations induced by Kuroshio intrusion fronts in the northern South China Sea","volume":"44","author":"Guo","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e2021JC017244","DOI":"10.1029\/2021JC017244","article-title":"Biological response to the interaction of a mesoscale eddy and the river plume in the northern South China Sea","volume":"126","author":"Geng","year":"2021","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"16435","DOI":"10.1029\/96JC01064","article-title":"Winter upwelling off Luzon in the northeastern South China Sea","volume":"101","author":"Shaw","year":"1996","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1016\/j.csr.2008.12.002","article-title":"Interaction of a river plume with coastal upwelling in the northeastern South China Sea","volume":"29","author":"Gan","year":"2009","journal-title":"Cont. Shelf Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.csr.2008.11.008","article-title":"Numerical study on the summer upwelling system in the northern continental shelf of the South China Sea","volume":"29","author":"Jing","year":"2009","journal-title":"Cont. Shelf Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1016\/j.dsr2.2007.05.011","article-title":"Nutrient dynamics and N-anomaly at the SEATS station","volume":"54","author":"Wong","year":"2007","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"C03012","DOI":"10.1029\/2009JC005657","article-title":"A census of eddy activities in the South China Sea during 1993-2007","volume":"115","author":"Xiu","year":"2010","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_44","first-page":"327","article-title":"A model of annual plankton cycles","volume":"3","author":"Evans","year":"1985","journal-title":"Biol. Oceanogr."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1016\/0967-0637(95)00054-A","article-title":"Variations in the seasonal cycle of biological production in subarctic oceans: A model sensitivity analysis","volume":"42","author":"Fasham","year":"1995","journal-title":"Deep Sea Res. Part I Oceanogr. Res. Pap."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.ecolmodel.2006.08.021","article-title":"NEMURO\u2014a lower trophic level model for the North Pacific marine ecosystem","volume":"202","author":"Kishi","year":"2007","journal-title":"Ecol. Model."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"697","DOI":"10.5194\/gmd-8-697-2015","article-title":"Mechanistic site-based emulation of a global ocean biogeochemical model (MEDUSA 1.0) for parametric analysis and calibration: An application of the Marine Model Optimization Testbed (MarMOT 1.1)","volume":"8","author":"Hemmings","year":"2015","journal-title":"Geosci. Model. Dev."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s13131-015-0762-0","article-title":"Parameter sensitivity study of the biogeochemical model in the China coastal seas","volume":"34","author":"Ji","year":"2015","journal-title":"Acta Oceanol. Sin."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.ecolmodel.2018.01.016","article-title":"Sensitivity of the simulated Oxygen Minimum Zone to biogeochemical processes at an oligotrophic site in the Arabian Sea","volume":"372","author":"Sankar","year":"2018","journal-title":"Ecol. Model."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Saltelli, A., Ratto, M., Andres, T., Campolongo, F., and Tarantola, S. (2008). Global Sensitivity Analysis the Primer, John Wiley & Sons.","DOI":"10.1002\/9780470725184"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0304-3975(00)00406-0","article-title":"Fundamental study theory of genetic algorithms","volume":"259","author":"Schmitt","year":"2001","journal-title":"Theor. Comput. Sci."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Sathyendranath, S., Brewin, R., Brockmann, C., Brotas, V., and Platt, T. (2019). An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI). Sensors, 19.","DOI":"10.3390\/s19194285"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2112","DOI":"10.4319\/lo.2008.53.5_part_2.2112","article-title":"Observations of pigment and particle distributions in the western North Atlantic from an autonomous float and ocean color satellite","volume":"53","author":"Boss","year":"2008","journal-title":"Limnol. Oceanogr."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1139\/f82-108","article-title":"The deep chlorophyll maximum: Comparing vertical profiles of chlorophyll a","volume":"39","author":"Cullen","year":"1982","journal-title":"Can. J. Fish. Aquat. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3779","DOI":"10.1029\/2018JC014880","article-title":"Temporal and vertical variations of particulate and dissolved optical properties in the South China Sea","volume":"124","author":"Xing","year":"2019","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"30191","DOI":"10.1364\/OE.27.030191","article-title":"Evaluating satellite estimates of particulate backscatter in the global open ocean using autonomous profiling floats","volume":"27","author":"Bisson","year":"2019","journal-title":"Opt. Express"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"e2019GL086088","DOI":"10.1029\/2019GL086088","article-title":"Detecting mesopelagic organisms using biogeochemical-Argo floats","volume":"47","author":"Briggs","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"171","DOI":"10.5194\/bg-5-171-2008","article-title":"Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans","volume":"5","author":"Stramski","year":"2008","journal-title":"Biogeosciences"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"15159","DOI":"10.1364\/OE.422671","article-title":"Relationships between optical backscattering, particulate organic carbon, and phytoplankton carbon in the oligotrophic South China Sea basin","volume":"29","author":"Qiu","year":"2021","journal-title":"Opt. Express"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"L08608","DOI":"10.1029\/2004GL022111","article-title":"A unique seasonal pattern in phytoplankton biomass in low-latitude waters in the South China Sea","volume":"32","author":"Tseng","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"7123","DOI":"10.1002\/2016JC011983","article-title":"Physical drivers of chlorophyll variability in the open South China Sea","volume":"121","author":"Zhang","year":"2016","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"6978","DOI":"10.1364\/AO.426137","article-title":"Seasonal bias in global ocean color observations","volume":"60","author":"Bisson","year":"2021","journal-title":"Appl. Opt."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Park, M.-S., Lee, S., Ahn, J.-H., Lee, S.-J., Choi, J.-K., and Ryu, J.-H. (2022). Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data. Remote Sens., 14.","DOI":"10.3390\/rs14010072"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/j.csr.2003.12.006","article-title":"Nitrogen modulates phytoplankton growth in spring in the South China Sea","volume":"24","author":"Chen","year":"2004","journal-title":"Cont. Shelf Res."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.jmarsys.2005.09.002","article-title":"Winter phytoplankton blooms in the shallow mixed layer of the South China Sea enhanced by upwelling","volume":"59","author":"Chen","year":"2006","journal-title":"J. Mar. Syst."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1792","DOI":"10.1016\/j.dsr2.2010.04.005","article-title":"Phytoplankton community at warm eddies in the northern South China Sea in winter 2003\/2004","volume":"57","author":"Huang","year":"2010","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.pocean.2007.09.002","article-title":"Beneath the surface: Characteristics of oceanic ecosystems under weak mixing conditions\u2014A theoretical investigation","volume":"75","author":"Beckmann","year":"2007","journal-title":"Prog. Oceanogr."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"De La Rocha, C.L. (2007). The Biological Pump. Treatise on Geochemistry, Elsevier.","DOI":"10.1016\/B0-08-043751-6\/06107-7"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"102403","DOI":"10.1016\/j.pocean.2020.102403","article-title":"Impact of physical and biogeochemical forcing on particle export in the South China Sea","volume":"187","author":"Zhou","year":"2020","journal-title":"Prog. Oceanogr."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"2063","DOI":"10.1002\/2014JC010432","article-title":"Role of particle stock and phytoplankton community structure in regulating particulate organic carbon export in a large marginal sea","volume":"120","author":"Cai","year":"2015","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.1002\/2015GB005355","article-title":"Phytoplankton size impact on export flux in the global ocean","volume":"30","author":"Mouw","year":"2016","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1002\/2013GB004743","article-title":"Global assessment of ocean carbon export by combining satellite observations and food-web models","volume":"28","author":"Siegel","year":"2014","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_73","first-page":"233","article-title":"Assimilation of SeaWiFS data in a coupled physical\u2013biological model of the Adriatic Sea","volume":"40","author":"Hoepffner","year":"2003","journal-title":"J. Mar. Syst."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006GB002745","article-title":"Assimilation of seasonal chlorophyll and nutrient data into an adjoint three-dimensional ocean carbon cycle model: Sensitivity analysis and ecosystem parameter optimization","volume":"21","author":"Tjiputra","year":"2007","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1016\/j.ecolmodel.2009.04.050","article-title":"Data assimilation in a simple marine ecosystem model based on spatial biological parameterizations","volume":"220","author":"Fan","year":"2009","journal-title":"Ecol. Model."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"3015","DOI":"10.5194\/bg-11-3015-2014","article-title":"Using biogeochemical data assimilation to assess the relative skill of multiple ecosystem models in the Mid-Atlantic Bight: Effects of increasing the complexity of the planktonic food web","volume":"11","author":"Xiao","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.1016\/j.ecolmodel.2010.02.014","article-title":"A three-component model of phytoplankton size class for the Atlantic Ocean","volume":"221","author":"Brewin","year":"2010","journal-title":"Ecol. Model."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1297\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:33:30Z","timestamp":1760135610000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1297"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,7]]},"references-count":77,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14051297"],"URL":"https:\/\/doi.org\/10.3390\/rs14051297","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,7]]}}}